diff --git a/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/qwen3.5/sglang/mi300x-fp8/8k1k.yaml b/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/qwen3.5/sglang/mi300x-fp8/8k1k.yaml
index e2684e2c88..d34748268e 100644
--- a/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/qwen3.5/sglang/mi300x-fp8/8k1k.yaml
+++ b/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/qwen3.5/sglang/mi300x-fp8/8k1k.yaml
@@ -37,7 +37,7 @@ zip_override_concurrency:
   roles:
     agg:
       args:
-        cuda-graph-max-bs: [4, 8, 16, 32, 64]
+        cuda-graph-max-bs: [1, 2, 4, 8, 16, 32, 64]
   benchmark:
     env:
-      CONC: ['4', '8', '16', '32', '64']
+      CONC: ['1', '2', '4', '8', '16', '32', '64']
diff --git a/inferencex-e2e/configs/amd-master.yaml b/inferencex-e2e/configs/amd-master.yaml
index a8ea888081..eeb3c240f6 100644
--- a/inferencex-e2e/configs/amd-master.yaml
+++ b/inferencex-e2e/configs/amd-master.yaml
@@ -512,7 +512,7 @@ qwen3.5-fp8-mi300x-sglang:
       osl: 1024
       search-space:
       - tp: 8
-        conc-start: 4
+        conc-start: 1
         conc-end: 64
         srt-recipe: 8k1k.yaml
 
diff --git a/inferencex-e2e/perf-changelog.yaml b/inferencex-e2e/perf-changelog.yaml
index 033a7a46cf..f5f6eb7a57 100644
--- a/inferencex-e2e/perf-changelog.yaml
+++ b/inferencex-e2e/perf-changelog.yaml
@@ -10052,3 +10052,11 @@
     - "Offload every Muse Spark Open H200 point to host DRAM with SGLang HiCache (120 GB per rank so the target and DFlash draft host pools fit the node cgroup, dram-utilization 0.80), keeping the concurrency 1-64 sweep."
     - "Keep the GPU-resident settings unchanged: mem-fraction-static 0.85, matching running-request and decode-graph caps."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4199
+
+- config-keys:
+    - qwen3.5-fp8-mi300x-sglang
+  scenario-type:
+    - fixed-seq-len
+  description:
+    - "Extend the Qwen3.5 FP8 MI300X SGLang 8k1k (ISL 8192 / OSL 1024, TP8) concurrency ladder from 4-64 to 1-64 in amd-master.yaml and the matching srt-slurm zip_override. The reused sweep measured and validated GPU power at every point. Leave the MTP arm unchanged."
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3716